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1f883cc c3d12c3 1f883cc c3d12c3 1f883cc c3d12c3 1f883cc c3d12c3 1f883cc c3d12c3 1f883cc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 | 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()
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