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| import gradio as gr | |
| import requests | |
| import json # Import json module to parse response text | |
| # Function to call the "Previous Cases" API (cts endpoint) | |
| def previous_cases(query): | |
| try: | |
| response = requests.post("https://aaronanoronha-haha.hf.space/cts", json={"topic": query}) | |
| data = json.loads(response.text) # Parse JSON string into dictionary | |
| return data.get("response", "No response found") # Extract 'response' field | |
| except Exception as e: | |
| return f"Error: {e}" | |
| # Function to call the "Law Navigation" API (lsi endpoint) | |
| def law_navigation(query): | |
| try: | |
| response = requests.post("https://aaronanoronha-haha.hf.space/lsi", json={"topic": query}) | |
| data = json.loads(response.text) | |
| return data.get("response", "No response found") | |
| except Exception as e: | |
| return f"Error: {e}" | |
| # Function to call the "Judgment Prediction" API (pcr endpoint) | |
| def judgment_prediction(query): | |
| try: | |
| response = requests.post("https://aaronanoronha-haha.hf.space/pcr", json={"topic": query}) | |
| data = json.loads(response.text) | |
| return data.get("response", "No response found") | |
| except Exception as e: | |
| return f"Error: {e}" | |
| # Function to call the "Bail Analysis" API (bail endpoint) | |
| def bail_analysis(query): | |
| try: | |
| response = requests.post("https://aaronanoronha-haha.hf.space/bail", json={"topic": query}) | |
| data = json.loads(response.text) | |
| return data.get("response", "No response found") | |
| except Exception as e: | |
| return f"Error: {e}" | |
| # Create a Gradio Blocks interface with tabs for each API | |
| with gr.Blocks() as demo: | |
| gr.Markdown("# Legal AI Assistant") | |
| with gr.Tabs(): | |
| with gr.TabItem("Previous Cases"): | |
| input_text = gr.Textbox(lines=3, placeholder="Enter your query...", label="Query") | |
| output_text = gr.Textbox(lines=10, label="Response") | |
| gr.Button("Submit").click(fn=previous_cases, inputs=input_text, outputs=output_text) | |
| with gr.TabItem("Law Navigation"): | |
| input_text2 = gr.Textbox(lines=3, placeholder="Enter your query...", label="Query") | |
| output_text2 = gr.Textbox(lines=10, label="Response") | |
| gr.Button("Submit").click(fn=law_navigation, inputs=input_text2, outputs=output_text2) | |
| with gr.TabItem("Judgment Prediction"): | |
| input_text3 = gr.Textbox(lines=3, placeholder="Enter your query...", label="Query") | |
| output_text3 = gr.Textbox(lines=10, label="Response") | |
| gr.Button("Submit").click(fn=judgment_prediction, inputs=input_text3, outputs=output_text3) | |
| with gr.TabItem("Bail Analysis"): | |
| input_text4 = gr.Textbox(lines=3, placeholder="Enter your query...", label="Query") | |
| output_text4 = gr.Textbox(lines=10, label="Response") | |
| gr.Button("Submit").click(fn=bail_analysis, inputs=input_text4, outputs=output_text4) | |
| demo.launch() | |