Update app.py
Browse files
app.py
CHANGED
@@ -104,7 +104,8 @@ def process_input(text, rag, prompt_template):
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"""
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output = generate(prompt)
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return output
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def create_interface():
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# Definimos los componentes de la interfaz
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@@ -126,17 +127,18 @@ def create_interface():
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# Definimos la función que se ejecutará cuando se envíe la entrada
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def fn(text, rag, prompt_template):
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output = process_input(text, rag, prompt_template)
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matches = re.findall(r'"tipo"\s*:\s*"(.*?)"', output)
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classification_types = matches
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classification_types_options = [(option, option) for option in classification_types]
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classification_types_checkboxes = gr.CheckboxGroup(label="Clasificacion Tipo", choices=classification_types_options,value=[option[0] for option in classification_types_options], interactive = True)
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# Resalta las partes del texto que se encuentran en la variable output en rojo
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highlighted_text = highlight_text(text, output, color="red")
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return highlighted_text, classification_types_checkboxes, output
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examples = [
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[recorte, False, True]
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@@ -149,7 +151,7 @@ def create_interface():
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iface = gr.Interface(
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fn=fn,
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inputs=[input_text, rag_checkbox, prompt_template],
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outputs=["html", classification_types_checkboxes,
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examples=examples,
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allow_flagging="manual",
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flagging_options=["👍", "👎"],
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"""
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output = generate(prompt)
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return output,prompt
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+
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def create_interface():
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# Definimos los componentes de la interfaz
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# Definimos la función que se ejecutará cuando se envíe la entrada
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def fn(text, rag, prompt_template):
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output = []
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output = process_input(text, rag, prompt_template)
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matches = re.findall(r'"tipo"\s*:\s*"(.*?)"', output[0])
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classification_types = matches
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classification_types_options = [(option, option) for option in classification_types]
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classification_types_checkboxes = gr.CheckboxGroup(label="Clasificacion Tipo", choices=classification_types_options,value=[option[0] for option in classification_types_options], interactive = True)
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# Resalta las partes del texto que se encuentran en la variable output en rojo
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highlighted_text = highlight_text(text, output[0], color="red")
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return highlighted_text, classification_types_checkboxes, output[0], output[1]
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examples = [
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[recorte, False, True]
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iface = gr.Interface(
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fn=fn,
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inputs=[input_text, rag_checkbox, prompt_template],
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outputs=["html", classification_types_checkboxes, "text", "text"],
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examples=examples,
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allow_flagging="manual",
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flagging_options=["👍", "👎"],
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