{"id":18304105,"url":"https://github.com/echosingh/medibot","last_synced_at":"2026-03-17T23:34:59.655Z","repository":{"id":240571092,"uuid":"799359504","full_name":"EchoSingh/MediBot","owner":"EchoSingh","description":"A bot That can provide Medical assistance anytime to anyone , Just ask it and see yourself 🤗","archived":false,"fork":false,"pushed_at":"2024-07-24T03:48:39.000Z","size":27723,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-13T21:25:57.337Z","etag":null,"topics":["chatbot","gradio-interface","llm","machine-learning","medbot","medicalchatbot","nlp","pdf-document"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/EchoSingh.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-05-11T22:34:56.000Z","updated_at":"2025-01-21T15:11:17.000Z","dependencies_parsed_at":"2024-07-24T05:32:30.254Z","dependency_job_id":"24f4bd3c-90c2-417c-90a0-84f3526939b7","html_url":"https://github.com/EchoSingh/MediBot","commit_stats":null,"previous_names":["aditya26062003/medibot","echosingh/medibot"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/EchoSingh/MediBot","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EchoSingh%2FMediBot","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EchoSingh%2FMediBot/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EchoSingh%2FMediBot/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EchoSingh%2FMediBot/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/EchoSingh","download_url":"https://codeload.github.com/EchoSingh/MediBot/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EchoSingh%2FMediBot/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30635192,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-17T22:38:22.569Z","status":"ssl_error","status_checked_at":"2026-03-17T22:38:11.804Z","response_time":56,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["chatbot","gradio-interface","llm","machine-learning","medbot","medicalchatbot","nlp","pdf-document"],"created_at":"2024-11-05T15:27:49.138Z","updated_at":"2026-03-17T23:34:59.616Z","avatar_url":"https://github.com/EchoSingh.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MediBot ☤🩺\n## Note speed for answering question is : 12-15 minutes\n![Running!!](https://github.com/aditya26062003/MediBot/blob/main/Screenshot%20(4).png)\n\n## BioMistral-7B.Q4_K_M.gguf with Langchain\n\nThis repository provides a quick setup for using the BioMistral-7B.Q4_K_M.gguf model with the Langchain library.\n\n## Table of Contents\n- [Introduction](#introduction)\n- [Setup](#setup)\n  - [Requirements](#requirements)\n  - [Installation](#installation)\n- [Usage](#usage)\n- [Configuration](#configuration)\n- [Contributing](#contributing)\n- [License](#license)\n\n## Introduction\n\nThis project demonstrates how to use the BioMistral-7B.Q4_K_M.gguf model with Langchain for natural language processing tasks. BioMistral-7B is a specialized language model designed for biomedical text, and Langchain is a flexible library that simplifies the integration and usage of large language models.\n\n## Setup\n\n### Requirements\n\n- Python 3.7+\n- `requirements.txt` file for dependencies\n- BioMistral-7B.Q4_K_M.gguf model file\n\n### Installation\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/EchoSingh/biomistral-langchain-setup.git\n   cd biomistral-langchain-setup\n   ```\n2. Create a virtual environment and activate it:\n   ```bash\n   python -m venv venv\n   source venv/bin/activate   # On Windows, use `venv\\Scripts\\activate`\n   ```\n3. Install the required libraries:\n   ```bash\n   pip install langchain\n   ```\n4. Download the BioMistral-7B.Q4_K_M.gguf model file and place it in your desired directory. Update the path in the usage example accordingly.\n\n### Usage\nHere's an example script to get started with the BioMistral model using Langchain:\n```python\nfrom langchain.llms import CTransformers\n\n# Define the path to the BioMistral-7B.Q4_K_M.gguf model file\nbiomistral_model_path = \"C:\\\\path\\\\to\\\\your\\\\BioMistral-7B.Q4_K_M.gguf.bin\"\n\n# Initialize the BioMistral model with the appropriate parameters\nbiomistral_model = CTransformers(\n    model=biomistral_model_path,\n    model_type=\"mistral\",\n    config={\n        'max_new_tokens': 1000,\n        'temperature': 0.75,\n        'context_length': 2000\n    }\n)\n\n# Example usage of the model\nprompt = \"What are the symptoms of diabetes?\"\nresponse = biomistral_model(prompt)\nprint(response)\n```\nReplace \"C:\\\\path\\\\to\\\\your\\\\BioMistral-7B.Q4_K_M.gguf.bin\" with the actual path to your BioMistral model file.\n\n\n### Configuration\nYou can customize the model's behavior by modifying the config dictionary:\n\n1. max_new_tokens: Maximum number of tokens to generate.\n2. temperature: Sampling temperature, controlling the randomness of predictions.\n3. context_length: Maximum context length for the input.\n\n### Contributing\nContributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.\n\n### License\nThis project is licensed under the MIT License. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fechosingh%2Fmedibot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fechosingh%2Fmedibot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fechosingh%2Fmedibot/lists"}