Update app.py

app.py

@@ -1,20 +1,99 @@
-import torch
-import json
-import gradio as gr
+# import torch
+# import json
+# import gradio as gr
+
+# # Use a pipeline as a high-level helper
+# from transformers import pipeline
+
+# # model_path = "../Models/models--facebook--nllb-200-distilled-600M/snapshots/f8d333a098d19b4fd9a8b18f94170487ad3f821d"
+
+# # text_translator = pipeline("translation", model=model_path, torch_dtype=torch.bfloat16)
+
+# pipe = pipeline("translation", model="facebook/nllb-200-distilled-600M", torch_dtype=torch.bfloat16)
+
+# # text = "Hello friends, How are you?"
+
+# # translation = text_translator(text, src_lang="eng_Latn", tgt_lang="deu_Latn")
+
+# with open('language.json', 'r') as file:
+#     language_data = json.load(file)
+
+# def get_FLORES_code_from_language(language):
+#     for entry in language_data:
+#         if entry['Language'].lower() == language.lower():
+#             return entry['FLORES-200 code']
+#     return None
+
+# def translate_text(text, destination_language):
+#     dest_code = get_FLORES_code_from_language(destination_language)
+#     translation = text_translator(text, src_lang="eng_Latn", tgt_lang=dest_code)
+#     return translation[0]["translation_text"]
+
+# gr.close_all()
+
+# # print(translate_text(text, "Hindi"))
+# demo = gr.Interface(fn=translate_text,
+#                     inputs=[gr.Textbox(label="Input text to translate",lines=6), gr.Dropdown(["German", "French", "Hindi", "Romanian", "Marathi"], label="Select Destination Language")],
+#                     outputs=[gr.Textbox(label="Translated text",lines=4)],
+#                     title="@GenAILearniverse Project 4: Multi language translator",
+#                     description="THIS APPLICATION WILL BE USED TO TRNSLATE ANY ENGLIST TEXT TO MULTIPLE LANGUAGES.")
+
+# demo.launch()
+
+Hugging Face's logo
+Hugging Face
+Models
+Datasets
+Spaces
+Posts
+Docs
+Enterprise
+Pricing
 
-# Use a pipeline as a high-level helper
-from transformers import pipeline
 
-# model_path = "../Models/models--facebook--nllb-200-distilled-600M/snapshots/f8d333a098d19b4fd9a8b18f94170487ad3f821d"
 
-# text_translator = pipeline("translation", model=model_path, torch_dtype=torch.bfloat16)
+Spaces:
 
-pipe = pipeline("translation", model="facebook/nllb-200-distilled-600M", torch_dtype=torch.bfloat16)
+GenAILearniverse
+/
+MultiLanguageTranslator
 
-# text = "Hello friends, How are you?"
 
-# translation = text_translator(text, src_lang="eng_Latn", tgt_lang="deu_Latn")
+like
+1
+App
+Files
+Community
+1
+MultiLanguageTranslator
+/
+app.py
 
+GenAILearniverse's picture
+GenAILearniverse
+Create app.py
+92b225d
+verified
+11 months ago
+raw
+
+Copy download link
+history
+blame
+contribute
+delete
+
+1.77 kB
+import torch
+import gradio as gr
+import json
+
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+text_translator = pipeline("translation", model=model_path,
+                           torch_dtype=torch.bfloat16)
+# Load the JSON data from the file
 with open('language.json', 'r') as file:
     language_data = json.load(file)
 
@@ -24,19 +103,29 @@ def get_FLORES_code_from_language(language):
             return entry['FLORES-200 code']
     return None
 
+
 def translate_text(text, destination_language):
-    dest_code = get_FLORES_code_from_language(destination_language)
-    translation = text_translator(text, src_lang="eng_Latn", tgt_lang=dest_code)
+    # text = "Hello Friends, How are you?"
+    dest_code= get_FLORES_code_from_language(destination_language)
+    translation = text_translator(text,
+                                  src_lang="eng_Latn",
+                                  tgt_lang=dest_code)
     return translation[0]["translation_text"]
 
 gr.close_all()
 
-# print(translate_text(text, "Hindi"))
+# demo = gr.Interface(fn=summary, inputs="text",outputs="text")
 demo = gr.Interface(fn=translate_text,
-                    inputs=[gr.Textbox(label="Input text to translate",lines=6), gr.Dropdown(["German", "French", "Hindi", "Romanian", "Marathi"], label="Select Destination Language")],
+                    inputs=[gr.Textbox(label="Input text to translate",lines=6), gr.Dropdown(["German","French", "Hindi", "Romanian	"], label="Select Destination Language")],
                     outputs=[gr.Textbox(label="Translated text",lines=4)],
                     title="@GenAILearniverse Project 4: Multi language translator",
                     description="THIS APPLICATION WILL BE USED TO TRNSLATE ANY ENGLIST TEXT TO MULTIPLE LANGUAGES.")
-
 demo.launch()
 
+
+
+
+
+
+
+