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| # Welcome to Team Tonic's MultiMed | |
| import gradio as gr | |
| import requests | |
| import json | |
| from decouple import Config | |
| config = Config('.env') | |
| def query_vectara(question): | |
| user_message = question | |
| # Read authentication parameters from the .env file | |
| CUSTOMER_ID = config('CUSTOMER_ID') | |
| CORPUS_ID = config('CORPUS_ID') | |
| API_KEY = config('API_KEY') | |
| # Define the headers | |
| api_key_header = { | |
| "customer-id": CUSTOMER_ID, | |
| "x-api-key": API_KEY | |
| } | |
| # Define the request body in the structure provided in the example | |
| request_body = { | |
| "query": [ | |
| { | |
| "query": user_message, | |
| "queryContext": "", | |
| "start": 1, | |
| "numResults": 25, | |
| "contextConfig": { | |
| "charsBefore": 0, | |
| "charsAfter": 0, | |
| "sentencesBefore": 2, | |
| "sentencesAfter": 2, | |
| "startTag": "%START_SNIPPET%", | |
| "endTag": "%END_SNIPPET%", | |
| }, | |
| "rerankingConfig": { | |
| "rerankerId": 272725718, | |
| "mmrConfig": { | |
| "diversityBias": 0.35 | |
| } | |
| }, | |
| "corpusKey": [ | |
| { | |
| "customerId": CUSTOMER_ID, | |
| "corpusId": CORPUS_ID, | |
| "semantics": 0, | |
| "metadataFilter": "", | |
| "lexicalInterpolationConfig": { | |
| "lambda": 0 | |
| }, | |
| "dim": [] | |
| } | |
| ], | |
| "summary": [ | |
| { | |
| "maxSummarizedResults": 5, | |
| "responseLang": "eng", | |
| "summarizerPromptName": "vectara-summary-ext-v1.2.0" | |
| } | |
| ] | |
| } | |
| ] | |
| } | |
| # Make the API request using Gradio | |
| response = requests.post( | |
| "https://api.vectara.io/v1/query", | |
| json=request_body, # Use json to automatically serialize the request body | |
| verify=True, | |
| headers=api_key_header | |
| ) | |
| if response.status_code == 200: | |
| query_data = response.json() | |
| if query_data: | |
| sources_info = [] | |
| # Extract the summary. | |
| summary = query_data['responseSet'][0]['summary'][0]['text'] | |
| # Iterate over all response sets | |
| for response_set in query_data.get('responseSet', []): | |
| # Extract sources | |
| for source in response_set.get('response', [])[:5]: # Limit to top 5 sources. | |
| source_metadata = source.get('metadata', []) | |
| source_info = {} | |
| for metadata in source_metadata: | |
| metadata_name = metadata.get('name', '') | |
| metadata_value = metadata.get('value', '') | |
| if metadata_name == 'title': | |
| source_info['title'] = metadata_value | |
| elif metadata_name == 'author': | |
| source_info['author'] = metadata_value | |
| elif metadata_name == 'pageNumber': | |
| source_info['page number'] = metadata_value | |
| if source_info: | |
| sources_info.append(source_info) | |
| result = {"summary": summary, "sources": sources_info} | |
| return f"{json.dumps(result, indent=2)}" | |
| else: | |
| return "No data found in the response." | |
| else: | |
| return f"Error: {response.status_code}" | |
| def convert_to_markdown(vectara_response_json): | |
| vectara_response = json.loads(vectara_response_json) | |
| if vectara_response: | |
| summary = vectara_response.get('summary', 'No summary available') | |
| sources_info = vectara_response.get('sources', []) | |
| # Format the summary as Markdown | |
| markdown_summary = f'**Summary:** {summary}\n\n' | |
| # Format the sources as a numbered list | |
| markdown_sources = "" | |
| for i, source_info in enumerate(sources_info): | |
| author = source_info.get('author', 'Unknown author') | |
| title = source_info.get('title', 'Unknown title') | |
| page_number = source_info.get('page number', 'Unknown page number') | |
| markdown_sources += f"{i+1}. {title} by {author}, Page {page_number}\n" | |
| return f"{markdown_summary}**Sources:**\n{markdown_sources}" | |
| else: | |
| return "No data found in the response." | |
| iface = gr.Interface( | |
| fn=lambda text: convert_to_markdown(query_vectara(text)), | |
| inputs=[gr.Textbox(label="Input Text")], | |
| outputs=[gr.Markdown(label="Output Text")], | |
| title="👋🏻Welcome to Team🚀Tonic's 😷MultiMed⚕️", | |
| description="""<h2>How To Use 😷MultiMed⚕️:</h2><h3>🗣️📝Interact with 😷MultiMed⚕️ in any language using audio or text!🗣️📝</h3> | |
| <h3>This is an educational and accessible conversational tool to improve wellness and sanitation in support of public health. 📚🌟💼 You can use 😷MultiMed⚕️ on your own data & in your own way by cloning this space. 🧬🔬🔍 Simply click here: <a style="display:inline-block" href="https://huggingface.co/spaces/TeamTonic/MultiMed?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHY dmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a></h3> | |
| <h3>🌟TeamTonic🌟 is always making cool demos!</h3> | |
| <h3>Join our active builder's community on Discord: <a href="https://discord.gg/GWpVpekp"><img src="https://discordapp.com/api/guilds/1109943800132010065/widget.png"></a> On Huggingface: <a href="https://huggingface.co/TeamTonic">TeamTonic</a> & <a href="https://huggingface.co/MultiTransformer">MultiTransformer</a> On Github: <a href="https://github.com/tonic-ai">Polytonic<img src="https://img.shields.io/github/followers/Tonic-AI.svg?style=social&label=Follow&maxAge=2592000"></a> & contribute to <a href="https://github.com/tonic-ai/polygpt-alpha">PolyGPT</h3>""", | |
| examples=[ | |
| ["What is the proper treatment for buccal herpes?"], | |
| ["Male, 40 presenting with swollen genitals and a rash"], | |
| ["How does cellular metabolism work TCA cycle"], | |
| ["What special care must be provided to children with chicken pox?"], | |
| ["When and how often should I wash my hands ?"], | |
| ["بکل ہرپس کا صحیح علاج کیا ہے؟"], | |
| ["구강 헤르페스의 적절한 치료법은 무엇입니까?"], | |
| ["Je, ni matibabu gani sahihi kwa herpes ya buccal?"] | |
| ] | |
| ) | |
| iface.launch() |