init

app.py

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+import gradio as gr
+import requests
+import dwani
+import os
+
+dwani.api_key = os.getenv("DWANI_API_KEY")
+dwani.api_base = os.getenv("DWANI_API_BASE_URL")
+
+def chat_api(prompt, language, tgt_language):  
+    resp = dwani.Chat.create(prompt, language, tgt_language)
+    return resp
+
+# Language options as simple array
+language_options = ["English", "Kannada", "Hindi"]
+
+# Create Gradio interface
+with gr.Blocks(title="Chat API Interface") as demo:
+    gr.Markdown("# Chat API Interface")
+    
+    with gr.Row():
+        with gr.Column():
+            # Input components
+            prompt_input = gr.Textbox(
+                label="Prompt",
+                placeholder="Enter your prompt here (e.g., 'hi')"
+            )
+            language_input = gr.Dropdown(
+                label="Source Language",
+                choices=language_options,
+                value="English"
+            )
+            tgt_language_input = gr.Dropdown(
+                label="Target Language",
+                choices=language_options,
+                value="Kannada"
+            )
+            
+            submit_btn = gr.Button("Submit")
+        
+        with gr.Column():
+            # Output component
+            output = gr.JSON(label="Response")
+    
+    # Connect the button click to the API function
+    submit_btn.click(
+        fn=chat_api,
+        inputs=[prompt_input, language_input, tgt_language_input],
+        outputs=output
+    )
+
+# Launch the interface
+demo.launch()

requirements.txt

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+gradio
+dwani