Update app.py
Browse files
app.py
CHANGED
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@@ -2,7 +2,6 @@ import gradio as gr
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import os
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from groq import Groq
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# Initialize Groq client
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def initialize_groq_client():
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api_key = os.getenv("GROQ_API_KEY")
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if not api_key:
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@@ -10,21 +9,14 @@ def initialize_groq_client():
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return Groq(api_key=api_key)
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def translate_to_swahili(text, temperature=0.3):
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"""
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Translate English text to Swahili using Groq's Llama 4
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"""
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if not text.strip():
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return "Please enter some text to translate."
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try:
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client = initialize_groq_client()
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# Construct the prompt for translation
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prompt = f"""You are a professional translator. Translate the following English text to Swahili.
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Provide only the Swahili translation, nothing else.
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English text: {text}
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Swahili translation:"""
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completion = client.chat.completions.create(
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@@ -48,21 +40,15 @@ Swahili translation:"""
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return f"Error during translation: {str(e)}"
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def translate_with_streaming(text, temperature=0.3):
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"""
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Translate with streaming response for better UX
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"""
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if not text.strip():
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yield "Please enter some text to translate."
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return
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try:
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client = initialize_groq_client()
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-
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prompt = f"""You are a professional translator. Translate the following English text to Swahili.
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Provide only the Swahili translation, nothing else.
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-
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English text: {text}
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-
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Swahili translation:"""
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completion = client.chat.completions.create(
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@@ -89,7 +75,6 @@ Swahili translation:"""
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except Exception as e:
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yield f"Error during translation: {str(e)}"
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# Create Gradio interface
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def create_interface():
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with gr.Blocks(title="English to Swahili Translator", theme=gr.themes.Soft()) as iface:
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gr.Markdown("# 🌍 English to Swahili Translator")
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@@ -125,7 +110,6 @@ def create_interface():
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interactive=False
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)
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# Examples
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gr.Examples(
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examples=[
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["Hello, how are you?"],
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@@ -138,7 +122,6 @@ def create_interface():
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label="Try these examples:"
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)
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# Event handlers
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translate_btn.click(
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fn=translate_with_streaming,
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inputs=[input_text, temperature],
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@@ -151,7 +134,6 @@ def create_interface():
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outputs=[input_text, output_text]
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)
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# Allow Enter key to trigger translation
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input_text.submit(
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fn=translate_with_streaming,
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inputs=[input_text, temperature],
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@@ -161,23 +143,15 @@ def create_interface():
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return iface
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# For local testing
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if __name__ == "__main__":
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# For local development, you can set the API key here (NOT recommended for production)
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# os.environ["GROQ_API_KEY"] = "your_api_key_here"
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iface = create_interface()
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iface.launch(
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debug=True,
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share=False,
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server_name="0.0.0.0",
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server_port=7860
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)
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# For Hugging Face Spaces deployment
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def launch_hf_space():
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iface = create_interface()
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iface.launch()
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# Uncomment the line below for Hugging Face deployment
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# launch_hf_space()
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import os
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from groq import Groq
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def initialize_groq_client():
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api_key = os.getenv("GROQ_API_KEY")
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if not api_key:
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return Groq(api_key=api_key)
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def translate_to_swahili(text, temperature=0.3):
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if not text.strip():
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return "Please enter some text to translate."
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try:
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client = initialize_groq_client()
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prompt = f"""You are a professional translator. Translate the following English text to Swahili.
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Provide only the Swahili translation, nothing else.
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English text: {text}
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Swahili translation:"""
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completion = client.chat.completions.create(
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return f"Error during translation: {str(e)}"
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def translate_with_streaming(text, temperature=0.3):
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if not text.strip():
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yield "Please enter some text to translate."
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return
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try:
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client = initialize_groq_client()
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prompt = f"""You are a professional translator. Translate the following English text to Swahili.
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Provide only the Swahili translation, nothing else.
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English text: {text}
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Swahili translation:"""
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completion = client.chat.completions.create(
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except Exception as e:
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yield f"Error during translation: {str(e)}"
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def create_interface():
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with gr.Blocks(title="English to Swahili Translator", theme=gr.themes.Soft()) as iface:
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gr.Markdown("# 🌍 English to Swahili Translator")
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interactive=False
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)
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gr.Examples(
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examples=[
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["Hello, how are you?"],
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label="Try these examples:"
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)
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translate_btn.click(
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fn=translate_with_streaming,
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inputs=[input_text, temperature],
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outputs=[input_text, output_text]
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)
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input_text.submit(
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fn=translate_with_streaming,
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inputs=[input_text, temperature],
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return iface
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if __name__ == "__main__":
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iface = create_interface()
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iface.launch(
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debug=True,
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share=False,
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server_name="0.0.0.0",
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server_port=7860
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)
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def launch_hf_space():
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iface = create_interface()
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iface.launch()
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