Delete app.py

app.py

@@ -1,42 +0,0 @@
-from huggingface_hub import InferenceClient
-import gradio as gr
-
-# Initialize the InferenceClient with the Mixtral model
-client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
-
-def translate_srt(srt_content, source_lang, target_lang):
-    # Assuming srt_content is now a string with the content of the SRT file
-    translated_lines = []
-    
-    # Split the SRT file into lines
-    lines = srt_content.split("\n")
-    
-    for line in lines:
-        # Check if the line is a timestamp or an empty line
-        if line.strip().isdigit() or "-->" in line or line == "":
-            translated_lines.append(line)
-        else:
-            # Prepare the text for translation
-            formatted_prompt = f"Translate the following text from {source_lang} to {target_lang}: {line}"
-            # Using the Mixtral API for translation; adjust parameters as necessary
-            response = client(text=formatted_prompt)
-            # Assuming the response includes a 'generated_text' field with the translated text
-            translated_text = response["generated_text"]
-            translated_lines.append(translated_text)
-    
-    return "\n".join(translated_lines)
-
-# Define the Gradio interface
-iface = gr.Interface(
-    fn=translate_srt,
-    inputs=[
-        gr.TextArea(label="SRT File Content"),
-        gr.Textbox(label="Source Language (ISO Code)", placeholder="e.g., en for English"),
-        gr.Textbox(label="Target Language (ISO Code)", placeholder="e.g., es for Spanish")
-    ],
-    outputs="text",
-    title="SRT Translator",
-    description="Translate SRT (SubRip subtitle) files from one language to another."
-)
-
-iface.launch()